Akbari, Sina

14 publications

UAI 2025 Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments Yaroslav Kivva, Sina Akbari, Saber Salehkaleybar, Negar Kiyavash

UAI 2025 Multi-Armed Bandits with Missing Outcomes Ilia Mahrooghi, Mahshad Moradi, Sina Akbari, Negar Kiyavash

JMLR 2025 Optimal Experiment Design for Causal Effect Identification Sina Akbari, Jalal Etesami, Negar Kiyavash

JMLR 2025 Recursive Causal Discovery Ehsan Mokhtarian, Sepehr Elahi, Sina Akbari, Negar Kiyavash

CLeaR 2025 Sample Complexity of Nonparametric Closeness Testing for Continuous Distributions and Its Application to Causal Discovery with Hidden Confounding Fateme Jamshidi, Sina Akbari, Negar Kiyavash

NeurIPS 2024 Fast Proxy Experiment Design for Causal Effect Identification Sepehr Elahi, Sina Akbari, Jalal Etesami, Negar Kiyavash, Patrick Thiran

ICML 2024 Triple Changes Estimator for Targeted Policies Sina Akbari, Negar Kiyavash

TMLR 2023 A Free Lunch with Influence Functions? an Empirical Evaluation of Influence Functions for Average Treatment Effect Estimation Matthew James Vowels, Sina Akbari, Necati Cihan Camgoz, Richard Bowden

NeurIPSW 2023 Causal Discovery via Monotone Triangular Transport Maps Sina Akbari, Luca Ganassali, Negar Kiyavash

NeurIPS 2023 Causal Effect Identification in Uncertain Causal Networks Sina Akbari, Fateme Jamshidi, Ehsan Mokhtarian, Matthew Vowels, Jalal Etesami, Negar Kiyavash

NeurIPS 2023 Causal Imitability Under Context-Specific Independence Relations Fateme Jamshidi, Sina Akbari, Negar Kiyavash

AAAI 2022 Learning Bayesian Networks in the Presence of Structural Side Information Ehsan Mokhtarian, Sina Akbari, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash

ICML 2022 Minimum Cost Intervention Design for Causal Effect Identification Sina Akbari, Jalal Etesami, Negar Kiyavash

NeurIPS 2021 Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias Sina Akbari, Ehsan Mokhtarian, AmirEmad Ghassami, Negar Kiyavash